Research on Hierarchical Interactive Teaching Model Based on Naive Bayesian Classification
Available Online February 2018.
- https://doi.org/10.2991/csece-18.2018.70How to use a DOI?
- Naive Bayesian; student classification; hierarchical interactive; teaching model
- The purpose of this research is improving the current inject classroom teaching mode that ignores individual differences and inefficiency of students. By studying classification algorithm in data mining and applying the classification method based on Naive Bayes algorithm, we designed and implemented scientific classification of students, and draw lessons from stratified and interactive teaching mode, so as to builded a new effective teaching mode. The results show that through scientific classification of students, real-time hierarchical interaction teaching effectively stimulate students' interest in learning, improve cooperation ability, and improve classroom teaching efficiency.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Dongyan Fan PY - 2018/02 DA - 2018/02 TI - Research on Hierarchical Interactive Teaching Model Based on Naive Bayesian Classification BT - 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/csece-18.2018.70 DO - https://doi.org/10.2991/csece-18.2018.70 ID - Fan2018/02 ER -